{"query_echo":{"q":"","filters":{"analysis_type":["spatial analysis"]},"warnings":[]},"total":{"value":155,"relation":"eq"},"page":5,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=spatial+analysis&page=5","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=spatial+analysis&page=6","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-001974","url":"https://climateinsightsdirectory.org/document/sei-001974","title":"The Chiquitania fires: the role of water resources in forest restoration plans","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2020-10","source_url":"https://www.sei.org/wp-content/uploads/2020/11/the-chiquitania-fires-the-role-of-water-resources-in-forest-restoration-plans.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In response to the 2019 'megafire' in the Chiquitano Forest, which burned approximately 3.6 million hectares, the Stockholm Environment Institute (SEI) developed a pilot framework to help Bolivian policymakers use watersheds as the primary management unit for land and water planning. The framework combines remote sensing data on land use and fire from 2001 to 2019 with watershed maps and water-related indicators, such as groundwater recharge areas, to identify vulnerable zones. While current restoration plans in the Santa Cruz Department focus on socio-economic and governance actions, they lack water resource components. SEI's tool distinguishes between fires in intact forests versus those in areas already converted to agriculture and identifies northern Chiquitania as having the highest groundwater recharge potential. Future work involves adding criteria like ecosystem relevance and population size, and developing a regional-scale model using the Water Evaluation And Planning (WEAP) tool to quantify the hydrological impacts of forest cover loss.","ai_generated":true,"unit":"sei-001974#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2019 'megafire' in the Chiquitano Forest was one of the largest in Bolivian history, affecting nearly 10% of the Santa Cruz Department with approximately 3.6 million hectares burned.","ai_generated":true,"unit":"sei-001974#insight-1","date_modified":"2026-10-23"},{"text":"Existing restoration plans launched by national and regional agencies in Bolivia, such as the Plan De Recuperación De Las Zonas Afectadas Por Incendios En El Departamento De Santa Cruz, do not address water resource issues.","ai_generated":true,"unit":"sei-001974#insight-2","date_modified":"2026-10-23"},{"text":"SEI developed a prioritization tool using Tableau that integrates remote sensing data from 2001 to 2019 with watershed maps and groundwater recharge indicators to identify the most vulnerable watersheds.","ai_generated":true,"unit":"sei-001974#insight-3","date_modified":"2026-10-23"},{"text":"Analysis shows that the northern Chiquitania region possesses the highest number of groundwater wells and the greatest groundwater recharge potential, and has remained less impacted by fires to date.","ai_generated":true,"unit":"sei-001974#insight-4","date_modified":"2026-10-23"},{"text":"Forest cover loss has been driven by the steady advancement of the agricultural frontier since 2001, with the pace of conversion to cropping areas increasing since 2016.","ai_generated":true,"unit":"sei-001974#insight-5","date_modified":"2026-10-23"}],"climate_tags":["forest fire","forest restoration","water resource","groundwater recharge","land use","deforestation"],"geography_discussed":["Santa Cruz Department"],"frame_perspective":[],"analysis_type":["framework proposal","impact assessment","spatial analysis"]},{"id":"ucs-000230","url":"https://climateinsightsdirectory.org/document/ucs-000230","title":"A Toxic Relationship","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"report","language":"en","date_published":"2020-07","source_url":"https://www.ucs.org/sites/default/files/2020-07/a-toxic-relationship-appendix.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document describes a two-part methodology: first, using a \"bathtub model\" combining Digital Elevation Models, tidal gauge data, and NOAA sea level rise projections to map future 100-year-flood zones; second, performing a buffer analysis around 9,689 Superfund sites to determine if people of color and low-income households are disproportionately located near sites at risk of flooding.","ai_generated":true,"unit":"ucs-000230#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The researchers used a \"bathtub model\" to estimate permanent and temporary coastal flooding by combining Digital Elevation Models (DEM), tidal gauge data, and NOAA sea level rise projections to create a continuous surface of data for the East and Gulf Coasts.","ai_generated":true,"unit":"ucs-000230#insight-1","date_modified":"2026-10-23"},{"text":"To determine the total water level (TWL) for various years and climate scenarios, the model added sea level rise layers to 100-year-flood height and mean higher high water layers, then subtracted the DEM layer to identify areas where the value was greater than 0 as expected flooded zones.","ai_generated":true,"unit":"ucs-000230#insight-2","date_modified":"2026-10-23"},{"text":"The study analyzed 9,689 Superfund sites from the EPA's Facility Registry Service, including those actively being remediated, proposed for listing, or in screening and assessment phases.","ai_generated":true,"unit":"ucs-000230#insight-3","date_modified":"2026-10-23"},{"text":"Superfund sites were classified as at risk of flooding if they were located within the projected flooding extent for NOAA's low, intermediate, intermediate-high, and high climate scenarios for the years 2040, 2060, 2080, and 2100, including a 200-meter buffer to account for the two-dimensional area of hazardous materials.","ai_generated":true,"unit":"ucs-000230#insight-4","date_modified":"2026-10-23"},{"text":"The proximity analysis utilized one-mile, three-mile, and five-mile buffer zones around at-risk Superfund sites to estimate the number of people, specifically people of color and low-income households, living nearby using US Census Bureau block group data.","ai_generated":true,"unit":"ucs-000230#insight-5","date_modified":"2026-10-23"},{"text":"To assess disproportionate risk, the study compared the observed number of low-income households and people of color in the buffer zones against expected values based on the overall percentages of these groups in coastal counties along the East and Gulf Coasts.","ai_generated":true,"unit":"ucs-000230#insight-6","date_modified":"2026-10-23"}],"climate_tags":["sea level rise","coastal flood","environmental justice"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodology","spatial analysis","demographic analysis"]},{"id":"prio-001625","url":"https://climateinsightsdirectory.org/document/prio-001625","title":"Children Affected by Armed Conflict, 1990–2019","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"policy brief","language":"en","date_published":"2020-06","source_url":"https://cdn.cloud.prio.org/files/b54b2f6f-84d9-4745-abbe-5bc07fba2c4d/Ostby Rustad and Tollefsen - Children Affected by Armed Conflict 1990-2019 - Conflict Trends 6-2020.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report finds that 1.61 billion children lived in conflict-affected countries in 2019, with 426 million residing in specific conflict zones (within 50 km of fighting). Africa has the highest absolute number of affected children, while the Middle East has the highest proportional share. The number of children in conflict zones has generally increased since the 1990s, with millions exposed to continuous conflict throughout their childhood.","ai_generated":true,"unit":"prio-001625#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2019, approximately 1.61 billion children, representing 69% of the global child population, lived in conflict-affected countries. This is an increase of nearly 100 million from 2018, driven by low-level conflict events in countries including South Africa, Honduras, Liberia, and Peru.","ai_generated":true,"unit":"prio-001625#insight-1","date_modified":"2026-10-23"},{"text":"About 426 million children, or more than one in six worldwide, lived in 'conflict zones' in 2019, defined as areas within 50 km of a conflict event. This figure represents a 2% increase from 2018 and a more than 50% increase from the 200–250 million estimated in the early- and mid-1990s.","ai_generated":true,"unit":"prio-001625#insight-2","date_modified":"2026-10-23"},{"text":"Regional data for 2019 shows that Africa had the highest absolute number of children in conflict zones at 179 million (roughly 30% of the global total). However, the Middle East had the highest proportional share, with approximately 38.6% of its children living in conflict zones.","ai_generated":true,"unit":"prio-001625#insight-3","date_modified":"2026-10-23"},{"text":"A significant number of children experience prolonged exposure to violence; in 2019, over 71 million children aged 0–5 lived in areas with conflict for their entire lives, and approximately 16 million children lived in areas with 18 consecutive years of conflict.","ai_generated":true,"unit":"prio-001625#insight-4","date_modified":"2026-10-23"},{"text":"Conflict intensity varies, but in 2019, 81 million children (3.5% of the global child population) lived in zones with more than 25 battle deaths. Approximately 9 million children lived within 50 km of the highest intensity areas (1,000 or more battle deaths), a number that doubled since 2018 largely due to drug wars in Mexico.","ai_generated":true,"unit":"prio-001625#insight-5","date_modified":"2026-10-23"},{"text":"The report identifies Afghanistan, Syria, and Somalia as the countries with the highest conflict intensity in 2019. Trends in the number of children living in areas with over 1,000 battle deaths are noted to be highly correlated with the conflict in Syria.","ai_generated":true,"unit":"prio-001625#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Africa","Middle East","Asia","Americas","Europe","South Africa","Honduras","Liberia","Peru","Afghanistan","Syria","Somalia","Mexico"],"frame_perspective":[],"analysis_type":["spatial analysis","temporal trend analysis","demographic mapping"]},{"id":"iai-000342","url":"https://climateinsightsdirectory.org/document/iai-000342","title":"Monitoramento da Qualidade do ar no Estado do ACRE - 2019","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"executive summary","language":"pt","date_published":"2020-04","source_url":"https://iai.int/administrador/assets/images/ckfinder/files/AirQualityReport.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report details the implementation of a low-cost sensor network to monitor air quality in Acre, Brazil, finding that many municipalities frequently exceeded WHO safety limits for PM2.5, primarily during the dry season months of August and September.","ai_generated":true,"unit":"iai-000342#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In June 2019, the largest air quality monitoring network in the Amazon became operational, consisting of 30 PurpleAir PA-II-SD low-cost sensors distributed across the headquarters of all 22 municipalities in the state of Acre.","ai_generated":true,"unit":"iai-000342#insight-1","date_modified":"2026-10-23"},{"text":"The primary source of air pollution in the Amazon is identified as burnings used for clearing newly deforested areas or renovating pastures and annual agricultural land.","ai_generated":true,"unit":"iai-000342#insight-2","date_modified":"2026-10-23"},{"text":"In 2019, Acre recorded 180,209 hectares (1,802 km2) of burnings in anthropized areas, representing an increase of approximately 80% compared to 2018, with 40% of these related to new deforestation.","ai_generated":true,"unit":"iai-000342#insight-3","date_modified":"2026-10-23"},{"text":"The most critical months for air quality were August and September, with the highest concentrations of particulate matter occurring during the night and early morning hours between 17:00 and 8:00.","ai_generated":true,"unit":"iai-000342#insight-4","date_modified":"2026-10-23"},{"text":"Assis Brasil and Sena Madureira recorded the highest number of days exceeding WHO recommendations (32 days each), while Rodrigues Alves recorded zero days, although the latter suffered from significant data collection failures.","ai_generated":true,"unit":"iai-000342#insight-5","date_modified":"2026-10-23"}],"climate_tags":["air quality","particulates","forest fire","deforestation","public health"],"geography_discussed":["Brazil","Amazon rainforest","Assis Brasil","Sena Madureira","Brasiléia","Porto Acre","Santa Rosa do Purus","Bujari","Acrelândia","Plácido de Castro","Xapuri","Manoel Urbano","Capixaba","Senador Guiomard","Feijó","Jordão","Marechal Thaumaturgo","Cruzeiro do Sul","Mâncio Lima","Tarauacá","Porto Walter","Rodrigues Alves","Epitaciolândia"],"frame_perspective":[],"analysis_type":["environmental monitoring","spatial analysis"]},{"id":"prio-001498","url":"https://climateinsightsdirectory.org/document/prio-001498","title":"Civil wars trap countries in recurring cycles of violent conflict","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"briefing","language":"en","date_published":"2020-03","source_url":"https://cdn.cloud.prio.org/files/31a7a3ea-fa31-43cf-8d5f-e2cf5b73e59b/Jarland et al - How Should We Understand Recurring Conflicts Conflict Trends 3-2020.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The PRIO Conflict Recurrence Database reveals that approximately half of all conflict episodes between 1989 and 2018 recurred, often driven by the same or overlapping grievances. The analysis indicates that while actors may change—with new groups emerging or alliances forming—the underlying issues frequently persist, suggesting that peacebuilding efforts often fail to address the root causes of violence. The data shows a high frequency of rapid recurrence, with 90% of recurring conflicts returning within eight years.","ai_generated":true,"unit":"prio-001498#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1989 and 2018, approximately 50% of all conflict episodes recurred, with nearly 20% recurring three or more times. When analyzed by actor dyads, nearly 35% of episodes recurred, and just over 8% had three or more episodes.","ai_generated":true,"unit":"prio-001498#insight-1","date_modified":"2026-10-23"},{"text":"The majority of recurring conflicts are driven by persistent grievances; 64% recur over the same issues and 27% over overlapping issues. Only a small minority (3%) recur over new incompatibilities, and less than 1% are unrelated to previous issues of contention.","ai_generated":true,"unit":"prio-001498#insight-2","date_modified":"2026-10-23"},{"text":"Conflict recurrence typically happens quickly, with 90% of recurring conflicts returning within eight years and nearly 50% recurring within two years.","ai_generated":true,"unit":"prio-001498#insight-3","date_modified":"2026-10-23"},{"text":"Recurring conflicts often involve changes in the participants; nearly 17% of recurring episodes involve partially different actors, and 3% involve entirely new actors. This is exemplified by the conflict in the Democratic Republic of the Congo, which has been continuous since 2010 and involved eight different actors across 10 dyad-episodes.","ai_generated":true,"unit":"prio-001498#insight-4","date_modified":"2026-10-23"},{"text":"The conflict in Colombia demonstrates a pattern of continuous violence from 1989 to 2018 despite various peace agreements and the activity of different non-state groups, including FARC, EPL-Megateo, ELN, and FARC dissidents.","ai_generated":true,"unit":"prio-001498#insight-5","date_modified":"2026-10-23"},{"text":"The authors argue that the high rate of recurrence is a result of peacebuilding failures to address the 'heart of the conflicts,' noting that disarming groups is insufficient if the underlying grievances remain.","ai_generated":true,"unit":"prio-001498#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Colombia","Democratic Republic of the Congo"],"frame_perspective":[],"analysis_type":["statistical analysis","spatial analysis","database development"]},{"id":"prio-001531","url":"https://climateinsightsdirectory.org/document/prio-001531","title":"Heating Up the Dry Debate","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2020","source_url":"https://cdn.cloud.prio.org/files/538d4bcc-c0ec-42a4-9d94-42831b945386/MA_Fredrik_Methi.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study evaluates the relationship between three drought indicators and communal conflict in Sub-Saharan Africa (1989-2014) using multilevel logistic regression. It finds that while all three measures are positively associated with conflict, the strength of the relationship increases as the measure moves from meteorological (SPEI) to agricultural (NDVI) and finally to socio-economic (EM-DAT) impacts. Specifically, socio-economic droughts approximately double the odds of experiencing violent conflict. However, the author notes that the NDVI effect may be driven by spatial correlation—where conflicts and vegetation loss occur in the same land types—rather than a direct temporal causal link. The study concludes that preventing meteorological droughts from escalating into socio-economic disasters could potentially reduce communal conflict risks.","ai_generated":true,"unit":"prio-001531#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"All three drought indicators (SPEI, NDVI, and EM-DAT) are positively associated with a higher likelihood of communal conflict across Sub-Saharan Africa, supporting the hypothesis that droughts generally increase conflict risk.","ai_generated":true,"unit":"prio-001531#insight-1","date_modified":"2026-10-23"},{"text":"Socio-economic drought, as measured by EM-DAT, has the most significant effect, approximately doubling the odds of experiencing violent conflict.","ai_generated":true,"unit":"prio-001531#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural drought (NDVI) is significant in all main models, with odds ratios for conflict ranging between 1.39 and 1.92.","ai_generated":true,"unit":"prio-001531#insight-3","date_modified":"2026-10-23"},{"text":"Meteorological drought (SPEI) shows a weak and inconsistent relationship with conflict, becoming significant primarily when considering droughts in neighbouring areas.","ai_generated":true,"unit":"prio-001531#insight-4","date_modified":"2026-10-23"},{"text":"The relationship between NDVI drought and communal conflict is likely based on spatial correlation (occurring in the same types of land) rather than temporal correlation (occurring in the same years).","ai_generated":true,"unit":"prio-001531#insight-5","date_modified":"2026-10-23"},{"text":"There is a sequential relationship between the three drought types: lack of precipitation (SPEI) increases the likelihood of reduced vegetation quality (NDVI), which in turn increases the likelihood of a socio-economic disaster (EM-DAT).","ai_generated":true,"unit":"prio-001531#insight-6","date_modified":"2026-10-23"},{"text":"The level of democracy is a strong negative predictor of communal conflict, with higher democracy scores significantly decreasing the odds of conflict.","ai_generated":true,"unit":"prio-001531#insight-7","date_modified":"2026-10-23"},{"text":"Previous conflict in a cell is the strongest predictor of current conflict, increasing the odds of a conflict in year t by four to six times if a conflict occurred in year t-1.","ai_generated":true,"unit":"prio-001531#insight-8","date_modified":"2026-10-23"},{"text":"Ethnic exclusion, as measured by the GeoEPR 2014 dataset, was not found to have a significant effect on the likelihood of communal conflict in this study.","ai_generated":true,"unit":"prio-001531#insight-9","date_modified":"2026-10-23"}],"climate_tags":["drought","climate variability"],"geography_discussed":["Sudano-Sahelian Region","Somalia","Nigeria","Kenya","Uganda","Ethiopia","South Sudan"],"frame_perspective":[],"analysis_type":["multilevel logistic regression","sensitivity analysis","spatial analysis"]},{"id":"wri-001802","url":"https://climateinsightsdirectory.org/document/wri-001802","title":"Restoring Landscapes in India for Climate and Communities","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"report","language":"en","date_published":"2020","source_url":"https://files.wri.org/s3fs-public/restoring-landscapes-india-climate-and-communities.pdf?rIg0UOEFJYEf9KGd7WJrMrjL3CKxHnUn","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies that 76% of Sidhi district's land area (over 363,000 hectares) has potential for landscape restoration through eight specific tree-based interventions. These include assisted natural regeneration, agri-horti-forestry (wadi), and trees on boundaries. Implementation could generate 3.75 million person-days of wage employment, resulting in INR 710 million in income, and sequester 7 million metric tons of carbon over 10–20 years. However, significant barriers exist, including insecure land tenure, poor market access, and a lack of technical knowledge. The authors recommend establishing 'accelerators' in policy, knowledge, technology, and business to coordinate stakeholders and scale restoration efforts.","ai_generated":true,"unit":"wri-001802#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Over 363,000 hectares in Sidhi district, representing 76 percent of its total area, are suitable for landscape restoration.","ai_generated":true,"unit":"wri-001802#insight-1","date_modified":"2026-10-23"},{"text":"Eight specific tree-based interventions were identified as suitable for the district: assisted natural regeneration, mixed-species plantations, bamboo plantations, farmer-managed natural regeneration, riverbank plantation, trees on boundaries, agri-horti-forestry (wadi), and pastureland development.","ai_generated":true,"unit":"wri-001802#insight-2","date_modified":"2026-10-23"},{"text":"Restoring Sidhi's forests could increase forest carbon stock by 37 percent and sequester more than 7 million metric tons of carbon over a period of 10 to 20 years.","ai_generated":true,"unit":"wri-001802#insight-3","date_modified":"2026-10-23"},{"text":"Implementation of restoration could create 3.75 million person-days of wage employment over two years, generating INR 710 million (US$10 million) in wage income and an additional INR 592.3 million (US$8.46 million) from sapling sales.","ai_generated":true,"unit":"wri-001802#insight-4","date_modified":"2026-10-23"},{"text":"Developing value chains for six key tree species—aonla, bamboo, jackfruit, mahua, moringa, and palash—could create informal jobs for approximately 30,000 people, including women, landless people, and unemployed youth.","ai_generated":true,"unit":"wri-001802#insight-5","date_modified":"2026-10-23"},{"text":"The total estimated cost to implement the identified restoration interventions in Sidhi is between INR 4.37 billion (US$65 million) and INR 7.46 billion (US$111 million) over 5 to 10 years.","ai_generated":true,"unit":"wri-001802#insight-6","date_modified":"2026-10-23"},{"text":"A significant barrier to restoration is the lack of tenurial clarity, particularly regarding the Forest Rights Act of 2006; for example, no claims have been recognized under community forest resource rights in the district.","ai_generated":true,"unit":"wri-001802#insight-7","date_modified":"2026-10-23"},{"text":"There is a distinct divide in ecosystem service preferences: privileged upper-caste men prioritize regulatory services like water recharge and erosion control, while poor scheduled caste (SC) and scheduled tribe (ST) individuals prioritize provisioning services such as fuelwood, fodder, and food.","ai_generated":true,"unit":"wri-001802#insight-8","date_modified":"2026-10-23"},{"text":"The district's social network for restoration is large but lacks diversity and coordination, with key actors including the divisional forest officer, the district collector, and the president of the zilla panchayat.","ai_generated":true,"unit":"wri-001802#insight-9","date_modified":"2026-10-23"}],"climate_tags":["carbon sequestration","agroforestry","biodiversity conservation","soil erosion","climate finance","land tenure","Paris Agreement","Nationally Determined Contributions","Sustainable Development Goals"],"geography_discussed":["Lucknow","Bhopal"],"frame_perspective":[],"analysis_type":["spatial analysis","livelihood analysis","cost analysis","social network analysis","policy analysis"]},{"id":"wwf-000763","url":"https://climateinsightsdirectory.org/document/wwf-000763","title":"Plowprint Report","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2020","source_url":"https://www.worldwildlife.org/documents/353/803vp43xa0_PlowprintReport_2020_FINAL_08042020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2020 Plowprint Report finds that between 2014 and 2018, grasslands in the Great Plains were tilled at an average rate of four football fields per minute. In 2018, approximately 2.1 million acres were converted across the U.S. and Canada, though this was offset by a 2 million acre increase in perennial cover. Wheat is the primary driver of conversion in the Northern Great Plains, while corn and soy dominate conversion across the U.S. The report also introduces a new analysis of northern Mexico's grasslands and updates its tracking methodology to improve spatial resolution and accuracy.","ai_generated":true,"unit":"wwf-000763#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2014 and 2018, the average rate of grassland tillage across the Great Plains was equivalent to four football fields every minute.","ai_generated":true,"unit":"wwf-000763#insight-1","date_modified":"2026-10-23"},{"text":"In 2018, approximately 2.1 million acres of grasslands were converted across the Great Plains of the U.S. and Canada, representing a slight increase from the 2 million acres converted in 2017.","ai_generated":true,"unit":"wwf-000763#insight-2","date_modified":"2026-10-23"},{"text":"There was a significant increase in perennial cover in 2018, with 2 million acres added across the Great Plains and 440,000 acres in the Northern Great Plains (NGP).","ai_generated":true,"unit":"wwf-000763#insight-3","date_modified":"2026-10-23"},{"text":"In the Northern Great Plains, wheat is the leading driver of grassland conversion at 41%, followed by corn (9%) and soybeans (7%). Wheat produced for export accounts for 55% of newly tilled acres, while cattle feed is the primary driver for corn (47%) and soybean (62%) conversion.","ai_generated":true,"unit":"wwf-000763#insight-4","date_modified":"2026-10-23"},{"text":"The 2020 report updated its methodology to improve accuracy, including increasing the USDA Cropland Data Layer spatial resolution to 30m and implementing a 2-year crop rule to exclude one-off misidentifications.","ai_generated":true,"unit":"wwf-000763#insight-5","date_modified":"2026-10-23"}],"climate_tags":["biodiversity loss","carbon capture and storage","ecosystem service","land-use change"],"geography_discussed":["Northern Great Plains"],"frame_perspective":[],"analysis_type":["spatial analysis","trend analysis"]},{"id":"clipolin-000959","url":"https://climateinsightsdirectory.org/document/clipolin-000959","title":"The Forest Awakens: Amazon Regeneration and Policy Spillover","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2019-10","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/12/WP002-The-Forest-Awakens.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research analyzes the relationship between satellite-based law enforcement (DETER) and the growth of secondary vegetation in the Brazilian Amazon from 2004 to 2014. It finds that increased enforcement in a cell's neighborhood significantly increases the probability and area of forest regeneration, supporting a 'deterrence channel' where illegal land use is abandoned. The study suggests that improving monitoring systems to detect secondary vegetation could further increase forest cover.","ai_generated":true,"unit":"clipolin-000959#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Secondary vegetation in the Brazilian Amazon grew by more than 70% between 2004 and 2014, increasing from less than 10 million hectares to more than 17 million hectares.","ai_generated":true,"unit":"clipolin-000959#insight-1","date_modified":"2026-10-23"},{"text":"Environmental law enforcement targeting primary forest loss had a positive spillover effect on tropical regeneration; specifically, increasing the intensity of enforcement in a pixel's neighborhood by one standard deviation increased the regenerated area in that pixel by 6% of the sample mean.","ai_generated":true,"unit":"clipolin-000959#insight-2","date_modified":"2026-10-23"},{"text":"The spillover effect of law enforcement on regeneration is most significant within a 20km radius of a cell, but becomes insignificant beyond that distance.","ai_generated":true,"unit":"clipolin-000959#insight-3","date_modified":"2026-10-23"},{"text":"The results support the 'deterrence channel' over the 'displacement channel', suggesting that stricter enforcement inhibits illegal activity and leads to the abandonment of deforested lands, allowing natural regrowth.","ai_generated":true,"unit":"clipolin-000959#insight-4","date_modified":"2026-10-23"},{"text":"Counterfactual simulations indicate that improving the monitoring system to detect all deforestation patches recorded by the measuring system (PRODES) could increase secondary vegetation cover in the benchmark sample by approximately 280 thousand hectares.","ai_generated":true,"unit":"clipolin-000959#insight-5","date_modified":"2026-10-23"},{"text":"The expansion of secondary vegetation occurred primarily over pasture areas; 65% of cells in the baseline sample with regeneration expansion greater than 10% saw a reduction in pasture area, while cropland saw reductions in only a tiny fraction of cells.","ai_generated":true,"unit":"clipolin-000959#insight-6","date_modified":"2026-10-23"},{"text":"The spillover effect is most pronounced in areas with moderate levels of deforestation; in areas with very high deforestation, land use is too consolidated for regrowth, and in areas with very low deforestation, there is insufficient cleared land for the forest to grow back into.","ai_generated":true,"unit":"clipolin-000959#insight-7","date_modified":"2026-10-23"}],"climate_tags":["deforestation","carbon sequestration","land use"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["spatial analysis","counterfactual simulation","econometric modeling"]},{"id":"iisd-000675","url":"https://climateinsightsdirectory.org/document/iisd-000675","title":"Geography Matters: Targeting \"hotspots\" for cumulative environmental benefits","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"briefing","language":"en","date_published":"2019-06-06","source_url":"https://www.iisd.org/publications/brief/geography-matters-targeting-hotspots-cumulative-environmental-benefits","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This briefing describes the use of open spatial data to identify environmental 'hotspots' in Manitoba to optimize the allocation of limited resources for water quality, sustainable agriculture, and carbon sequestration.","ai_generated":true,"unit":"iisd-000675#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The use of publicly available spatial data allowed for the identification of three specific 'hotspots' in Manitoba that would most benefit from investments in natural infrastructure and improved beneficial management practices to improve water quality: the Southwest Red River Valley, Southwestern Manitoba, and the Southeast Red River Valley.","ai_generated":true,"unit":"iisd-000675#insight-1","date_modified":"2026-08-17"},{"text":"Geographic targeting using historical and new datasets is presented as a critical tool for achieving provincial priorities in Manitoba, specifically regarding carbon sequestration, sustainable agriculture, and water quality.","ai_generated":true,"unit":"iisd-000675#insight-2","date_modified":"2026-08-17"},{"text":"Targeted approaches are expected to optimize investments in agricultural soil carbon sequestration, and the Growing Outcomes in Watersheds program in Manitoba could facilitate better incentive programs for priority environmental services.","ai_generated":true,"unit":"iisd-000675#insight-3","date_modified":"2026-08-17"}],"climate_tags":["carbon sequestration","natural infrastructure","sustainable agriculture","water quality"],"geography_discussed":["Southwest Red River Valley","Southwestern Manitoba","Southeast Red River Valley"],"frame_perspective":[],"analysis_type":["spatial analysis"]},{"id":"iisd-001454","url":"https://climateinsightsdirectory.org/document/iisd-001454","title":"Geography Matters: Targeting “hotspots” for cumulative environmental benefits","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"briefing","language":"en","date_published":"2019-05","source_url":"https://www.iisd.org/system/files/publications/geography-matters-hot-spots-benefits.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The briefing identifies three specific water-quality hotspots in Manitoba based on 2016 Census of Agriculture data: the Southwest Red River Valley (high fertilizer application), Southwestern Manitoba (high conservation tillage), and the Southeast Red River Valley (high non-incorporated manure application). It argues that spatial targeting of natural infrastructure, such as engineered wetlands, and beneficial management practices can maximize the efficiency of public investments to reduce nutrient runoff into Lake Winnipeg.","ai_generated":true,"unit":"iisd-001454#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Southwest Red River Valley, encompassing the LaSalle, Boyne, and Morris River watersheds, is a hotspot due to having the \"highest proportion of fertilizer applied relative to watershed area\".","ai_generated":true,"unit":"iisd-001454#insight-1","date_modified":"2026-10-23"},{"text":"Southwestern Manitoba, including the Souris and Cypress River watersheds and part of the Assiniboine River, has a high concentration of conservation tillage (zero and reduced till). While beneficial for soil health and carbon sequestration, this practice \"may cause increased dissolved phosphorus runoff\".","ai_generated":true,"unit":"iisd-001454#insight-2","date_modified":"2026-10-23"},{"text":"The Southeast Red River Valley, specifically the lower portions of the Rat, Seine, and Marsh rivers, is a hotspot for manure application that is \"not incorporated into the soil\", with concentrations \"three to four standard deviations above the provincial mean\".","ai_generated":true,"unit":"iisd-001454#insight-3","date_modified":"2026-10-23"},{"text":"Natural infrastructure projects can effectively mitigate nutrient runoff and flood risk; for example, the 500 ha Pelly’s Lake engineered wetland in Manitoba has \"removed over 5 tonnes of phosphorus\" and provides 1,200 acre feet of controlled water storage.","ai_generated":true,"unit":"iisd-001454#insight-4","date_modified":"2026-10-23"},{"text":"In Minnesota, the 780 ha North Ottawa impoundment reduces nitrogen and phosphorus loading by \"68 per cent and 54 per cent respectively\" and prevents chronic flooding of 40 km2 of land.","ai_generated":true,"unit":"iisd-001454#insight-5","date_modified":"2026-10-23"},{"text":"The Red River Basin is a major contributor to nutrient loading in Lake Winnipeg, accounting for \"almost 70 per cent of the lake’s nutrient loads\".","ai_generated":true,"unit":"iisd-001454#insight-6","date_modified":"2026-10-23"}],"climate_tags":["water quality","carbon sequestration","regenerative agriculture","sustainable agriculture"],"geography_discussed":["Minnesota","Lake Winnipeg"],"frame_perspective":[],"analysis_type":["spatial analysis","policy briefing"]},{"id":"cer-001261","url":"https://climateinsightsdirectory.org/document/cer-001261","title":"Mpumalanga Spatial Development Framework","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"report","language":"en","date_published":"2019-01","source_url":"https://cer.org.za/wp-content/uploads/2019/01/Phase3.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Mpumalanga Provincial Spatial Development Framework proposes a polycentric growth management model to address apartheid-era spatial imbalances and promote sustainable economic diversification. It identifies five key economic growth and innovation centres—Mbombela, Emalahleni, Middleburg, Secunda, and Ermelo—and a network of alternative growth centres to decentralise economic activity. The framework emphasises enhancing connectivity via the N4 Maputo Corridor and other strategic routes, protecting high-potential agricultural land and biodiversity, and transitioning the province's coal-dependent economy toward low-carbon and climate-resilient alternatives. It also outlines strategies for urban densification, the development of sustainable human settlements, and the creation of Rural Economic Zones (REZ) to transform rural livelihoods.","ai_generated":true,"unit":"cer-001261#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The province adopts a Polycentric Growth Management Model, which uses a hierarchy of growth centres to manage intensification at strategic locations while maintaining lower-density areas.","ai_generated":true,"unit":"cer-001261#insight-1","date_modified":"2026-10-23"},{"text":"Five towns are designated as Key Economic Growth and Innovation Centres: Mbombela, Emalahleni, Middleburg, Secunda, and Ermelo, which currently generate nearly 70% of the province's Gross Value Added (GVA).","ai_generated":true,"unit":"cer-001261#insight-2","date_modified":"2026-10-23"}],"climate_tags":["low-carbon economy","climate change adaptation","renewable energy","biodiversity conservation","water management","sustainable agriculture","air quality","energy efficiency","waste management","green economy"],"geography_discussed":["South Africa","Mozambique","Botswana","Gauteng","Eswatini","Limpopo"],"frame_perspective":[],"analysis_type":["policy framework","spatial analysis","economic strategy","environmental assessment"]},{"id":"cer-001260","url":"https://climateinsightsdirectory.org/document/cer-001260","title":"Spatial Challenges and Opportunities Report","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"report","language":"en","date_published":"2018-10","source_url":"https://cer.org.za/wp-content/uploads/2019/01/Phase2.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes Mpumalanga's spatial status, identifying a resource-rich province dominated by coal mining and agriculture but facing severe environmental degradation and infrastructure backlogs. Key findings highlight that while the province is a national energy hub, it suffers from poor air quality in the Highveld, critical water scarcity, and significant housing shortages. The analysis emphasizes the need for urban restructuring, agrarian transformation in rural areas, and the protection of strategic water source areas and biodiversity corridors against mining encroachment.","ai_generated":true,"unit":"cer-001260#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The province's coal reserves are depleting rapidly, with estimates showing a decline from 28.1 Bt to 12.4 Bt.","ai_generated":true,"unit":"cer-001260#insight-1","date_modified":"2026-10-23"},{"text":"Air quality in the Highveld is among the poorest in South Africa, with towns such as Secunda, Ermelo, Witbank, Delmas, Balfour, Standerton, and Middleburg listed among the 15 most polluted in the country.","ai_generated":true,"unit":"cer-001260#insight-2","date_modified":"2026-10-23"},{"text":"Water resources are critically stressed, with the province expected to have a negative water balance by 2025. The Olifants River system is identified as one of South Africa's most stressed catchments regarding both quantity and quality.","ai_generated":true,"unit":"cer-001260#insight-3","date_modified":"2026-10-23"},{"text":"The province's wastewater infrastructure is in a critical state; 52% of wastewater treatment works (WWTWs) are in a critical risk position, and 51 plants are overloaded, leading to poor effluent quality.","ai_generated":true,"unit":"cer-001260#insight-4","date_modified":"2026-10-23"},{"text":"Mining activities pose a severe threat to biodiversity and water security, with over 60% of the province under prospecting or mining right applications. This includes threats to the Mabola protected environment and strategic water source areas.","ai_generated":true,"unit":"cer-001260#insight-5","date_modified":"2026-10-23"},{"text":"The province faces a significant housing crisis with a backlog of 225,023 households and a total housing demand estimated at 250,849 units.","ai_generated":true,"unit":"cer-001260#insight-6","date_modified":"2026-10-23"},{"text":"Economic activity is highly concentrated; approximately 67.5% of the provincial GDP is generated by only four local municipalities: Govan Mbeki, Emalahleni, Steve Tshwete, and the City of Mbombela.","ai_generated":true,"unit":"cer-001260#insight-7","date_modified":"2026-10-23"},{"text":"The tertiary sector is the most dominant part of the economy, contributing 50.5% to the provincial GVA, while the primary and secondary sectors contribute 27.7% and 21.8% respectively.","ai_generated":true,"unit":"cer-001260#insight-8","date_modified":"2026-10-23"},{"text":"Climate change is projected to increase temperatures by up to 2°C by 2035 and 3-5°C between 2080 and 2100, with increased variability in rainfall and higher evaporation rates.","ai_generated":true,"unit":"cer-001260#insight-9","date_modified":"2026-10-23"},{"text":"The province's road network is poorly maintained, with only 9% of roads rated as being in 'very good' condition, while 26% are in poor condition.","ai_generated":true,"unit":"cer-001260#insight-10","date_modified":"2026-10-23"},{"text":"Agricultural potential is high, with 60% of the land classified as having moderate to high-very high agricultural potential, though it competes with mining and urban expansion.","ai_generated":true,"unit":"cer-001260#insight-11","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","air quality","water scarcity","climate change adaptation","biodiversity loss","renewable energy","bioenergy","photovoltaics","wind energy","land degradation","sustainable agriculture","forestry"],"geography_discussed":["South Africa","Mozambique","Eswatini","Gauteng","Free State","KwaZulu-Natal","Limpopo","Ehlanzeni District Municipality","Nkangala District Municipality","Gert Sibande District Municipality"],"frame_perspective":[],"analysis_type":["spatial analysis","biophysical assessment","socio-economic analysis","infrastructure audit"]},{"id":"clipolin-000333","url":"https://climateinsightsdirectory.org/document/clipolin-000333","title":"A DINÂMICA DA ADOÇÃO DE TECNOLOGIAS AGRÍCOLAS NO BRASIL","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2018-10","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2018/12/A-Dinamica-da-Adocao-de-Tecnologias-Agricolas-no-Brasil.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the adoption of no-till farming, tractors, and fertilizers in Brazil from 2006 to 2017. It finds that while no-till farming has become more spatially decentralized, tractor use has become more concentrated in wealthy, urbanized regions, and fertilizer use has increased without a clear spatial pattern.","ai_generated":true,"unit":"clipolin-000333#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The adoption of no-till farming (Plantio Direto) in Brazil showed a trend of spatial convergence between 2006 and 2017. The percentage of crops using this technique rose from 17.4% to 38.8%, with significant growth in grain-producing municipalities in the Center-West and Matopiba, as well as in parts of southern Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-000333#insight-1","date_modified":"2026-10-23"},{"text":"Tractor use in Brazil experienced spatial divergence between 2006 and 2017, becoming more concentrated in the wealthiest and most urbanized regions of the South and Southeast. The density of tractors per square kilometer increased from 0.25 to 0.35, and the gap in density between high-use (75th percentile) and low-use (25th percentile) municipalities grew by approximately 20%.","ai_generated":true,"unit":"clipolin-000333#insight-2","date_modified":"2026-10-23"},{"text":"The use of fertilizers increased from 25% to 35% of farmers nationwide between 2006 and 2017, but unlike no-till farming or mechanization, this growth did not follow a clear spatial pattern. Growth was observed in diverse areas, including the Cerrado in Mato Grosso and irrigated Caatinga areas on the borders of Bahia, Pernambuco, and Sergipe.","ai_generated":true,"unit":"clipolin-000333#insight-3","date_modified":"2026-10-23"}],"climate_tags":["fertilizer","agricultural productivity","deforestation","carbon sequestration"],"geography_discussed":["Center-West","MATOPIBA","Rio Grande do Sul","South","Southeast","Mato Grosso","Bahia","Q40942","Sergipe"],"frame_perspective":[],"analysis_type":["spatial analysis","econometric modeling"]},{"id":"clipolin-000901","url":"https://climateinsightsdirectory.org/document/clipolin-000901","title":"INSIGHTS THE DYNAMICS OF AGRICULTURAL TECHNOLOGY ADOPTION IN BRAZIL","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2018-10","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2018/12/The-Dynamics-of-Agricultural-Technology-Adoption-in-Brazil.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies three distinct patterns of agricultural technology adoption in Brazil from 2006 to 2017. The Direct Planting System (DPS) is converging, becoming more widespread across the country. Tractor use is diverging, with increased concentration in wealthier, urbanized regions of the South and Southeast. Fertilizer use has increased overall but lacks a clear spatial pattern, with growth scattered across diverse regions including the Cerrado and Caatinga.","ai_generated":true,"unit":"clipolin-000901#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The adoption of the Direct Planting System (DPS), a no-till soil conservation technique, is converging across Brazil. The percentage of cropland using this method rose from 17.4% in 2006 to 38.8% in 2017, with the most significant growth occurring in crop-producing municipalities in the Center-West and Matopiba regions, as well as previously underused areas in southern Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-000901#insight-1","date_modified":"2026-10-23"},{"text":"Tractor use is diverging, meaning it is becoming more concentrated in specific areas. While the national average density of tractors increased from 0.25 to 0.35 per square kilometer (an average increase from 315 to 500 tractors per municipality), the largest increases occurred in the already mechanized, wealthier, and more urbanized areas of the South and Southeast. The gap in tractor use between the 75th and 25th percentiles of municipalities grew by approximately 20% between 2006 and 2017.","ai_generated":true,"unit":"clipolin-000901#insight-2","date_modified":"2026-10-23"},{"text":"The share of farmers using fertilizers increased from 25% to 35% between 2006 and 2017, but this growth does not follow a clear spatial pattern. Increases were observed in diverse areas, including the Cerrado lands in central Mato Grosso and irrigated Caatinga lands bordering Bahia, Pernambuco, and Sergipe, and econometric models indicate that growth is not linked to initial levels of fertilizer use.","ai_generated":true,"unit":"clipolin-000901#insight-3","date_modified":"2026-10-23"}],"climate_tags":["carbon sequestration","fertilizer","deforestation"],"geography_discussed":["Center-West","MATOPIBA","Rio Grande do Sul","South","Southeast","Cerrado","Mato Grosso","Caatinga","Bahia","Q40942","Sergipe"],"frame_perspective":[],"analysis_type":["spatial analysis","econometric analysis"]},{"id":"clipolin-000958","url":"https://climateinsightsdirectory.org/document/clipolin-000958","title":"The Deforestation Menace: Do Protected Territories Actually Shield Forests?","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2018-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/12/WP001-The-Deforestation-Menace.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research finds that protected territories in the Brazilian Amazon effectively shield the vegetation within their boundaries from advancing deforestation, particularly in high-risk contexts. However, this protection does not reduce the overall level of deforestation in the region; instead, it appears to deflect clearing activities to unprotected areas. The shielding effect is most pronounced in protected areas for sustainable use and decreases as proximity to transport infrastructure increases.","ai_generated":true,"unit":"clipolin-000958#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Legal protection effectively shields forests within its domain from advancing deforestation, with significantly less forest being cleared in protected cells than in unprotected ones when both face equivalent pressures.","ai_generated":true,"unit":"clipolin-000958#insight-1","date_modified":"2026-10-23"},{"text":"While protection shields specific areas, it does not reduce the aggregate level of deforestation; instead, it deflects clearing activity to unprotected regions.","ai_generated":true,"unit":"clipolin-000958#insight-2","date_modified":"2026-10-23"},{"text":"The shielding effect is most significant in protected areas for sustainable use, followed by strictly protected areas, while indigenous lands do not show a statistically significant shielding effect against advancing clearings for most of the sample period.","ai_generated":true,"unit":"clipolin-000958#insight-3","date_modified":"2026-10-23"},{"text":"Proximity to transport infrastructure, including both paved and unpaved roads, nullifies the shielding effect of protection; the effect becomes more accentuated as cells become more isolated from roads.","ai_generated":true,"unit":"clipolin-000958#insight-4","date_modified":"2026-10-23"},{"text":"Deforestation pressure is spatially persistent, where an increase in the intensity of forest clearing alerts within a 50km radius of a cell is associated with increased clearings inside that cell the following year.","ai_generated":true,"unit":"clipolin-000958#insight-5","date_modified":"2026-10-23"},{"text":"Under an increase of one standard deviation in neighborhood alert intensity, the difference in forest clearings between unprotected and protected cells is 3% of the sample standard deviation or 26% of the sample mean.","ai_generated":true,"unit":"clipolin-000958#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation"],"geography_discussed":["Chile","Costa Rica","Indonesia","Mexico","Peru","Thailand"],"frame_perspective":[],"analysis_type":["empirical impact evaluation","counterfactual simulation","spatial analysis"]},{"id":"bc3res-000185","url":"https://climateinsightsdirectory.org/document/bc3res-000185","title":"Climate Change and Armed Conflicts African Observatory (CACAO): a georeferenced map of Africa","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2018-07","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20180903101314132739497.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The authors created the CACAO database, which uses a 110x110 km grid to map conflicts, climate data, and socio-economic variables across Africa. Initial descriptive analysis shows that conflicts often overlap with areas rich in natural resources and populated regions, while the relationship with temperature and precipitation changes is more complex and requires further spatial and temporal analysis.","ai_generated":true,"unit":"bc3res-000185#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The CACAO database provides a granular, georeferenced panel for the African continent from 1990 to 2016, dividing the region into grid cells of approximately 110x110 km.","ai_generated":true,"unit":"bc3res-000185#insight-1","date_modified":"2026-10-23"},{"text":"Between 1990 and 2016, approximately 6.3% of the observations in the dataset were characterized by the presence of a conflict.","ai_generated":true,"unit":"bc3res-000185#insight-2","date_modified":"2026-10-23"},{"text":"The highest number of conflicts during the study period occurred in Algeria, the Democratic Republic of Congo (DCR), Nigeria, Somalia, and Sudan, while the highest number of deaths were recorded in Rwanda, Sudan, Eritrea, DCR, and Ethiopia.","ai_generated":true,"unit":"bc3res-000185#insight-3","date_modified":"2026-10-23"},{"text":"Mapping reveals a notable overlap between conflict zones and concentrations of energy and mineral resources, though the overlap with water resources is less clear.","ai_generated":true,"unit":"bc3res-000185#insight-4","date_modified":"2026-10-23"},{"text":"While most of Africa saw a sharp increase in temperature, the areas with the greatest temperature increases (North West and South West) did not align closely with conflict zones, suggesting a weak direct link.","ai_generated":true,"unit":"bc3res-000185#insight-5","date_modified":"2026-10-23"},{"text":"Conflicts have risen in the central belt, where precipitation has notably increased, and in the south east, where precipitation has notably decreased.","ai_generated":true,"unit":"bc3res-000185#insight-6","date_modified":"2026-10-23"},{"text":"The analysis suggests that conflicts primarily erupt in populated areas that are also rich in natural resources.","ai_generated":true,"unit":"bc3res-000185#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change","food security","land use"],"geography_discussed":["Algeria","Democratic Republic of the Congo","Nigeria","Somalia","Sudan","Rwanda","Eritrea","Ethiopia"],"frame_perspective":[],"analysis_type":["methodological","descriptive","spatial analysis"]},{"id":"cer-001441","url":"https://climateinsightsdirectory.org/document/cer-001441","title":"Identification, Delineation and Importance of the Strategic Water Source Areas of South Africa, Lesotho and Swaziland for Surface Water and Groundwater","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"report","language":"en","date_published":"2018-07","source_url":"https://cer.org.za/wp-content/uploads/2019/03/WRC-SWSAs-of-SA-Lesotho-and-Swaziland.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report defines and maps 22 national Strategic Water Source Areas for surface water (SWSA-sw) and 37 for groundwater (SWSA-gw) in South Africa, including transboundary areas in Lesotho and Swaziland. It links these areas to major urban centres and agricultural sectors, highlighting that a small percentage of land provides a disproportionate amount of the region's water. The study identifies significant threats from invasive alien plants, mining, and land degradation, and recommends integrating SWSAs into national policy, legislation, and spatial planning to ensure long-term water security.","ai_generated":true,"unit":"cer-001441#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The updated national and transboundary Strategic Water Source Areas for surface water (SWSA-sw) cover approximately 124,075 km² (10% of the region) and provide a mean annual runoff (MAR) of 24,954 million m³, which is 50% of the total.","ai_generated":true,"unit":"cer-001441#insight-1","date_modified":"2026-10-23"},{"text":"Strategic Water Source Areas for groundwater (SWSA-gw) in South Africa cover around 9% of the land surface (approximately 104,000 km²) and account for up to 42% of the baseflow in those areas, playing a critical role in sustaining surface water during dry seasons.","ai_generated":true,"unit":"cer-001441#insight-2","date_modified":"2026-10-23"},{"text":"Transboundary SWSA-sw in Lesotho and Swaziland are critical for South African water security; Lesotho's portions generate about 3,522 million m³ (79% of Lesotho's MAR), and Swaziland's portions produce about 2,053 million m³ (83% of Swaziland's MAR).","ai_generated":true,"unit":"cer-001441#insight-3","date_modified":"2026-10-23"},{"text":"Major urban centres in South Africa are heavily dependent on SWSA-sw, with many sourcing over 90% of their water from these areas. For example, the City of Cape Town receives 98% of its water from SWSA-sw.","ai_generated":true,"unit":"cer-001441#insight-4","date_modified":"2026-10-23"},{"text":"Groundwater from SWSA-gw is vital for agriculture and industry, supplying approximately 46% of the groundwater used by agriculture and 47% of that used for industrial purposes in South Africa.","ai_generated":true,"unit":"cer-001441#insight-5","date_modified":"2026-10-23"},{"text":"Protection of SWSAs is insufficient, with only 11% of all SWSAs falling under Protected Areas (PAs). Specifically, only 10% of the Northern Drakensberg SWSA is under formal protection.","ai_generated":true,"unit":"cer-001441#insight-6","date_modified":"2026-10-23"},{"text":"Invasive alien plants (specifically wattles, pines, and eucalypts) reduce the MAR of SWSA-sw by 485.8 million m³/a, which is 2.6% of the pre-development MAR.","ai_generated":true,"unit":"cer-001441#insight-7","date_modified":"2026-10-23"},{"text":"Mining poses a significant risk to SWSAs, particularly coal mining in the Highveld, Witbank, and Ermelo fields. The Upper Vaal and Kroonstad SWSAs completely overlap with coalfields.","ai_generated":true,"unit":"cer-001441#insight-8","date_modified":"2026-10-23"},{"text":"Certain groundwater aquifers are highly vulnerable to contamination; the Cenozoic Sand aquifers and dolomite aquifers are the most susceptible, with some areas like the Cape Peninsula and Cape Flats having 49% 'very high' vulnerability.","ai_generated":true,"unit":"cer-001441#insight-9","date_modified":"2026-10-23"},{"text":"Groundwater drought risk is most pronounced in the northwest of South Africa, while coastal areas in the south and east, such as the Zululand Coastal Plain, have very low drought risk.","ai_generated":true,"unit":"cer-001441#insight-10","date_modified":"2026-10-23"}],"climate_tags":["water security","groundwater recharge","water management","climate change"],"geography_discussed":["Gauteng","Western Cape","KwaZulu-Natal","Mpumalanga","Limpopo"],"frame_perspective":[],"analysis_type":["hydrological assessment","spatial analysis","economic impact analysis","risk assessment"]},{"id":"iisd-003251","url":"https://climateinsightsdirectory.org/document/iisd-003251","title":"Measuring Winnipeggers’ Convenient Access to Public Transportation","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"policy brief","language":"en","date_published":"2018-01","source_url":"https://www.iisd.org/system/files/publications/measuring-winnipeg-access-public-transit.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This policy brief develops a metric for 'convenient access' to public transit by combining spatial (distance to stop) and temporal (bus frequency) data. Applying this to Winnipeg, the analysis finds that only 53% of the population has convenient access during peak hours. It further demonstrates that proposed cuts to 22 bus routes would have resulted in 5.6% of residents losing convenient access and 5.54% losing all access to transit. The brief argues that such quantitative monitoring is essential for informing sustainable urban development and evaluating the impact of policy changes on ridership.","ai_generated":true,"unit":"iisd-003251#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The analysis defines 'convenient access' as living within 500 metres of a bus stop where the average frequency of departing buses is at least one every 15 minutes.","ai_generated":true,"unit":"iisd-003251#insight-1","date_modified":"2026-10-23"},{"text":"Approximately 53% of Winnipeg residents have convenient access to public transit, with the highest levels of convenience found in the Downtown, Point Douglas, and River Heights areas.","ai_generated":true,"unit":"iisd-003251#insight-2","date_modified":"2026-10-23"},{"text":"A significant portion of the population lacks convenient access: 32.76% have 'inconvenient access' (stops are within 500m but frequency is low), and 14.3% have 'no access' (no stop within 500m), primarily on the city's periphery.","ai_generated":true,"unit":"iisd-003251#insight-3","date_modified":"2026-10-23"},{"text":"When measuring travel time to a central destination (Bell MTS Place), only 46.95% of residents can reach downtown in under 30 minutes at 8 a.m., and this convenience drops further at 11 p.m., where only 40.15% can return home in under 30 minutes.","ai_generated":true,"unit":"iisd-003251#insight-4","date_modified":"2026-10-23"},{"text":"Simulated removal of 22 proposed route cuts would have caused 5.6% of the population to lose convenient access and 5.54% to lose all access to public transit.","ai_generated":true,"unit":"iisd-003251#insight-5","date_modified":"2026-10-23"}],"climate_tags":["public transport","sustainable development","Sustainable Development Goals"],"geography_discussed":["Canada","World"],"frame_perspective":[],"analysis_type":["spatial analysis","policy evaluation","quantitative assessment"]},{"id":"iisd-003531","url":"https://climateinsightsdirectory.org/document/iisd-003531","title":"Standards and Biodiversity: Thematic Review","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2017-06","source_url":"https://www.iisd.org/system/files/publications/standards-biodiversity-ssi-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while voluntary sustainability standards (VSSs) are increasingly adopted in key agricultural sectors, they remain a marginal force globally, covering less than 1% of global agricultural area as of 2014. VSSs show strong alignment with habitat conservation, with 87% prohibiting production on recently converted forestland, but are poorly equipped to address climate change, with no standards requiring strict GHG emission reductions. The analysis reveals that standards typically mandate practices rather than performance outcomes, and their impact is often limited by a reliance on developed-country demand and a tendency to be adopted where compliance is least costly. The report suggests five policy options, including supporting biodiversity-driven implementation and developing integrated data systems, to better leverage VSSs for biodiversity protection.","ai_generated":true,"unit":"iisd-003531#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Voluntary sustainability standards (VSSs) have a limited global footprint, covering less than 1% of global agricultural area in the eight most active sectors as of 2014.","ai_generated":true,"unit":"iisd-003531#insight-1","date_modified":"2026-10-23"},{"text":"VSSs are strongly aligned with habitat conservation, which is the primary driver of agriculturally caused biodiversity loss; 87% of reviewed standards prohibit production on recently converted forestland.","ai_generated":true,"unit":"iisd-003531#insight-2","date_modified":"2026-10-23"},{"text":"Standard-compliant production in the eight most active sectors grew by an average of 35% per annum between 2008 and 2014, with a projected reach of 10% or more of global production for each of these sectors by 2020.","ai_generated":true,"unit":"iisd-003531#insight-3","date_modified":"2026-10-23"},{"text":"VSSs are poorly prepared for climate change impacts; no reviewed standards include strict requirements for the measurement or reduction of greenhouse gases (GHGs).","ai_generated":true,"unit":"iisd-003531#insight-4","date_modified":"2026-10-23"},{"text":"Most VSS requirements focus on prescribing specific practices rather than defining performance outcomes, which limits the availability of data on actual biodiversity impacts.","ai_generated":true,"unit":"iisd-003531#insight-5","date_modified":"2026-10-23"},{"text":"Biodiversity-specific requirements are rare; only 40% of initiatives specify critical requirements for biodiversity risk assessment, and only 13% require no net loss of biodiversity.","ai_generated":true,"unit":"iisd-003531#insight-6","date_modified":"2026-10-23"},{"text":"In the cotton sector, the Better Cotton Initiative (BCI) is dominant, and while it has critical requirements for water management, much of the certified area has a historically low blue water footprint.","ai_generated":true,"unit":"iisd-003531#insight-7","date_modified":"2026-10-23"},{"text":"Palm oil certification is heavily concentrated in Malaysia, Indonesia, and Papua New Guinea, but its effectiveness is hindered by high demand for conventional palm oil in China and India.","ai_generated":true,"unit":"iisd-003531#insight-8","date_modified":"2026-10-23"},{"text":"Soy certification adoption remains low (below 3%) and is primarily driven by European demand, with significant gaps in demand from China.","ai_generated":true,"unit":"iisd-003531#insight-9","date_modified":"2026-10-23"},{"text":"Sugarcane certification is highly concentrated in Brazil, which generally uses less fertilizer per volume than other major producers like India, China, Pakistan, and Mexico.","ai_generated":true,"unit":"iisd-003531#insight-10","date_modified":"2026-10-23"},{"text":"Tea certification has seen rapid growth, particularly through the Rainforest Alliance, but is heavily skewed toward export-oriented production in Kenya and Sri Lanka.","ai_generated":true,"unit":"iisd-003531#insight-11","date_modified":"2026-10-23"}],"climate_tags":["biodiversity conservation","greenhouse gas emissions","water quality","agroforestry","GMO","carbon footprint","sustainable agriculture"],"geography_discussed":["Brazil","Indonesia","Malaysia","People's Republic of China","India","Pakistan","Cote dIvoire","Ghana","Kenya","Sri Lanka"],"frame_perspective":[],"analysis_type":["thematic review","criteria coverage analysis","market analysis","spatial analysis"]}]}